Responsibilities
Work with Applied Researchers, Engineers, Analytics, and multi-functional teams to produce end-to-end production-ready solutions.
Design and implement efficient data pipelines to collect, process, and analyze large datasets.
Integrate/deploy machine learning models into production systems.
Conduct data analysis to identify trends, insights, interpret experimentation and size opportunities within the advertising domain. Translate complex datasets into understandable and actionable recommendations for both technical and non-technical stakeholders.
Build dashboards to monitor system/business performance and status
Requirements
BS or MS in Computer Science or equivalent experience
Minimum of 5+ Years of Experience with big data technologies (i.e., Spark, Hadoop) and database technologies (i.e., SQL, NoSQL)
Good understanding of machine learning applications.
Strong programming skills in SQL, Python, Scala or Java
Experience in solving problems using data science, building practical solutions, and deploying models into production for evaluation
Strong ability to analyze large datasets, identify trends, and derive actionable insights. Expertise in data mining and segmentation. Experience with data visualization tools (e.g., Tableau) is a plus.
